Skip Navigation

Notice This is not the latest version of this dataset. The latest version can be found at:a1e4ff21-8f5e-40d6-97cb-2c6e95c12c18
How to Download

FRDR offers multiple ways to download datasets. Learn more in our documentation.

BenthicNet

 Contact Dataset Administrator
Full metadata record
Field
Value
Language
dc.contributor.author
Misiuk, Benjamin
datacite.creator.affiliationIdentifier
https://ror.org/04haebc03
en_US
datacite.creator.affiliation
Memorial University of Newfoundland
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0001-5822-4574
en_US
dc.contributor.author
Lowe, Scott C.
datacite.creator.affiliationIdentifier
https://ror.org/01e6qks80;https://ror.org/03kqdja62
en_US
datacite.creator.affiliation
Dalhousie University;Vector Institute
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-5237-3867
en_US
dc.contributor.author
Xu, Isaac
datacite.creator.affiliationIdentifier
https://ror.org/01e6qks80
en_US
datacite.creator.affiliation
Dalhousie University
en_US
datacite.creator.nameIdentifier
en_US
dc.coverage.temporal
1965-11-25/2021-12-22
dc.date.accessioned
2024-04-30T08:08:56Z
dc.date.available
2024-04-30T08:08:56Z
dc.date.issued
2024-04-30
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/24c6c813-d0ff-4461-8174-3f960f1edc0d
dc.identifier.uri
https://doi.org/10.20383/103.0614
dc.description
BenthicNet is a global compilation of seabed images designed to support the development of automated image processing tools. We currently have the need, but not the resources, to automate the classification of seabed images for the purposes of benthic ecology, mapping, and conservation. BenthicNet provides a volume of images appropriate for the training of machine and deep learning models that may be used for automatic image processing and classification. The dataset is global in scope, containing images from a range of locations, depths, and environments. Images and metadata were obtained from project partners, open access repositories, and third party hosting locations (such as journal supplementary materials), and have been standardized to a common format.
en_US
dc.publisher
Federated Research Data Repository / dépôt fédéré de données de recherche
dc.rights
This dataset is made available under a custom license, as follows. The model data are available under the Creative Commons Attribution 4.0 (CC-BY-4.0) License. Image data within this collection are made available under a variety of terms. The specific license assigned to each image set is listed in the document "00_Documentation/all_licenses_refs.csv" and the full terms and conditions of each license are available in "00_Documentation/licenses".
en_US
dc.subject
benthic habitat
en_US
dc.subject
seabed photograph
en_US
dc.subject
deep learning
en_US
dc.subject
computer vision
en_US
dc.subject
underwater image
en_US
dc.title
BenthicNet
en_US
globus.shared_endpoint.name
59ff4285-b842-47e7-bce9-56cf50ad34ab
globus.shared_endpoint.path
/9/published/publication_609/
datacite.publicationYear
2024
datacite.contributor.Supervisor
Craig J. Brown
datacite.contributor.Supervisor
Thomas Trappenberg
datacite.date.Collected
2021-01-01/2022-08-07
datacite.resourceType
Dataset
en_US
datacite.relatedIdentifier.IsCitedBy
https://github.com/DalhousieAI/benthicnet_probes
datacite.relatedIdentifier.IsCitedBy
http://arxiv.org/abs/2405.05241
datacite.relatedIdentifier.IsCitedBy
https://doi.org/10.1038/s41597-025-04491-1
datacite.geolocation.geolocationBox
-90 -180 90 180
datacite.geolocation.geolocationPlace
Global;-;-;-
datacite.fundingReference.funderIdentifier
https://ror.org/048py7387
en_US
datacite.fundingReference.funderName
Ocean Frontier Institute
en_US
datacite.fundingReference.awardNumber
en_US
datacite.fundingReference.awardTitle
Benthic Ecosystem Mapping & Engagement
en_US
frdr.crdc.code
RDF1050501
en_US
frdr.crdc.group_en
Earth and related environmental sciences
en_US
frdr.crdc.class_en
Oceanography
en_US
frdr.crdc.field_en
Biological oceanography
en_US
frdr.crdc.group_fr
Sciences de la Terre et sciences de l'environnement connexes
fr_CA
frdr.crdc.class_fr
Océanographie
fr_CA
frdr.crdc.field_fr
Océanographie biologique
fr_CA
datacite.description.other
Image data within this collection are made available under a variety of terms. The specific license assigned to each image set is listed in the document "00_Documentation/all_licenses_refs.csv" and the full terms and conditions of each license are available in "00_Documentation/licenses".
en_US
Appears in Collections:
CIOOS Atlantic / SIOOC Atlantique

Files in Dataset 
No files uploaded
Download entire dataset using Globus Transfer. This method requires a Globus account and installing software. Watch Video: Get Started with FRDR: Download a Dataset
Download with Globus
Files for this dataset are currently being backed up so it cannot be approved at this time. Please try later.

Access to this dataset is subject to the following terms:
This dataset is made available under a custom license, as follows. The model data are available under the Creative Commons Attribution 4.0 (CC-BY-4.0) License. Image data within this collection are made available under a variety of terms. The specific license assigned to each image set is listed in the document "00_Documentation/all_licenses_refs.csv" and the full terms and conditions of each license are available in "00_Documentation/licenses".
Citation
Misiuk, B., Lowe, S., Xu, I. (2024). BenthicNet. Federated Research Data Repository. https://doi.org/10.20383/103.0614

Show simple record Return to dashboard

Version History
Version Date Summary
Version 2 2025-03-24 Some of the CSV files containing the image annotations were from a version of the dataset that was updated during the peer review process. These have now been updated to the correct versions that are described in the manuscript (https://doi.org/10.1038/s41597-025-04491-1). The changes are described in the "README_version_history_20250403.txt" document, under the "Changes published on 2025-04-03". The files within "01_BenthicNet/csvs/finalized_csvs.zip" now represent those described by these changes.
Version 1 2024-04-30